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» Representing Uncertainty in RuleML
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IRI
2008
IEEE
14 years 2 months ago
An algorithm for activation timed influence nets
Activation Timed Influence Net (ATIN) is a term representing a progressively evolving sequence of actions, where the effects of an action become the preconditions of the action th...
Panayota Papantoni-Kazakos, Abbas K. Zaidi, M. Far...
PAKDD
1999
ACM
149views Data Mining» more  PAKDD 1999»
14 years 5 days ago
An Analysis of Quantitative Measures Associated with Rules
In this paper, we analyze quantitative measures associated with if-then type rules. Basic quantities are identified and many existing measures are examined using the basic quantit...
Yiyu Yao, Ning Zhong
SIGIR
1998
ACM
14 years 4 days ago
Modeling and Combining Evidence Provided by Document Relationships Using Probabilistic Argumentation Systems
Previous research has shown that hypertext links may be a useful source of evidence for document contents and relevance, but these evidence are rather difficult to represent and co...
Justin Picard
IJAR
2002
102views more  IJAR 2002»
13 years 7 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
SIGMOD
2008
ACM
169views Database» more  SIGMOD 2008»
14 years 8 months ago
MCDB: a monte carlo approach to managing uncertain data
To deal with data uncertainty, existing probabilistic database systems augment tuples with attribute-level or tuple-level probability values, which are loaded into the database al...
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Per...